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ncappc

Installation

You need to have R installed. Download the latest version of R from www.r-project.org. Install ncappc in R from Github. Note that the command below installs the "master" (development) branch; if you want the release branch from Github add ref="release" to the install_github() call. The install_github() approach requires that you build from source, i.e. make and compilers must be installed on your system -- see the R FAQ for your operating system; you may also need to install dependencies manually.

Follow the steps shown below.

install.packages("devtools")

library(devtools)

devtools::install_github("cacha0227/ncappc",build_vignettes=TRUE)

library(ncappc)

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Version

Install

install.packages('ncappc')

Monthly Downloads

319

Version

0.2.1.1

License

GPL-3

Maintainer

Chayan Acharya

Last Published

February 17th, 2016

Functions in ncappc (0.2.1.1)

calc.stat

Calculates a set of statistics for a given array of numbers.
est.nca

Estimates individual NCA metrics from concentration vs time data. data.
nca.deviation.plot

Plot individual deviation of NCA metrics estimated from observed and simulated data
histpop.plot

Plots population histogram of the NCA metrics selected for model diagnosis.
histobs.plot

Plots histogram of selected set of NCA metrics.
dv.plot

Plots drug plasma concentration vs time data
nca.pde.deviation.outlier

Calculates individual prediction distribution errors (PDE) and scaled deviation of NCA metrics estimated from observed and simulated data. Identifies outlier to population PK model.
nca.npde.plot

Plots population histogram of the NCA metrics selected for model diagnosis.
nca.npde

Calculates individual normalized prediction distribution errors (NPDE) from PDE data.
ncappc

Performs NCA calculations and population PK model diagnosis.
read_nm_table

Read nonmem table files produced.